Results 61 to 70 of about 12,335 (200)
Dual-Channel Deepfake Audio Detection: Leveraging Direct and Reverberant Waveforms
IEEE AccessDeepfake content-including audio, video, images, and text-synthesized or modified using artificial intelligence is designed to convincingly mimic real content.
Gunwoo Lee +6 more
doaj +1 more source
Truth, Lies, and Copyright [PDF]
, 2019 Fake news may be trending right now, but fake news is not the only source of fake facts that we consume. We encounter fake facts every day in the historical or biographical books we read, the movies we watch, the maps we study, the tele-phone directories
Smith, Cathay Y. N.
core +3 more sources
DeepFake Detection with Inconsistent Head Poses: Reproducibility and Analysis [PDF]
, 2021 Applications of deep learning to synthetic media generation allow the creation of convincing forgeries, called DeepFakes, with limited technical expertise. DeepFake detection is an increasingly active research area.
Bassett, Robert, Lutz, Kevin
core
Deepfakes: evolution and trends
Soft Computing, 2023 AbstractThis study conducts research on deepfakes technology evolution and trends based on a bibliometric analysis of the articles published on this topic along with six research questions: What are the main research areas of the articles in deepfakes? What are the main current topics in deepfakes research and how are they related? Which are the trends
Rosa Gil 0001 +3 more
openaire +1 more source
Deepfakes Generation and Detection: A Short Survey
Journal of Imaging, 2023 Advancements in deep learning techniques and the availability of free, large databases have made it possible, even for non-technical people, to either manipulate or generate realistic facial samples for both benign and malicious purposes. DeepFakes refer
Zahid Akhtar
doaj +1 more source
Improving Fairness in Deepfake Detection
, 2023 Despite the development of effective deepfake detection models in recent years, several recent studies have demonstrated that biases in the training data utilized to develop deepfake detection models can lead to unfair performance for demographic groups ...
Chen, George H. +4 more
core
Comprehensive multiparametric analysis of human deepfake speech recognition
EURASIP Journal on Image and Video ProcessingIn this paper, we undertake a novel two-pronged investigation into the human recognition of deepfake speech, addressing critical gaps in existing research.
Kamil Malinka +5 more
doaj +1 more source
Journal of Management Studies, EarlyView.Abstract The context within which social evaluations form has been fundamentally altered by contemporary forces, such as digital technologies, polarization, activism, politicization of business, and geopolitical tensions. While research on social evaluations has generated rich insights into the formation and development of constructs, such as ...
Marco Clemente +5 more
wiley +1 more source
Revista Panamericana de Comunicación, 2020 El deepfake es una especie mediática que evoluciona progresivamente como una amenaza para los dicursos del hacer creer en tiempos de la posverdad. Este estudio tiene como objetivo construir un escenario socio-mediático sobre el fenómeno del deepfake para su comprensión y análisis, en donde se propone una clasificación de géneros, casos, campos ...
openaire +2 more sources
Do deepfakes, digital replicas and human digital twins justify personality rights?
The Journal of World Intellectual Property, EarlyView.Abstract Unauthorised deepfakes are deeply problematic, from the spreading of misinformation to non‐consensual pornographic content. This paper asks whether deepfakes, digital replicas and human digital twins justify personality rights. To address this question, it examines the harms that deepfakes can cause through disinformation, demeaning content ...
Hayleigh Bosher
wiley +1 more source